Senior Product Associate, ML Products (Personalization & Customer Insights)

hackajob is collaborating with J.P. Morgan to connect them with exceptional professionals for this role.

JOB DESCRIPTION

You enjoy shaping products that make a real difference for customers, and you thrive when you can learn fast and move across different problems. Join our dynamic team and make a meaningful impact by helping deliver high-quality products that resonate with clients.

Job description
As a Senior Product Associate on the Personalization & Customer Insights team, you will support the end-to-end lifecycle of machine-learning products that translate customer data into actionable insights and personalized experiences. You will represent customer and partner needs, translate research and analytics into clear requirements, and help drive delivery in close partnership with Data Scientists and ML Engineers across a matrixed organization.

This role spans (1) delivering proactive personalization and next-best-action experiences across key customer moments and channels (e.g., marketing and servicing), and (2) enabling partner teams to self-serve personalization and insights for their own use cases. You will help frame hypotheses, support experimentation to measure impact, and contribute to scalable, reliable delivery while upholding privacy, consent, and fairness standards.

Job responsibilities

• Support the product roadmap and maintain a well-groomed backlog (epics, user stories, refinement) for one or more personalization and customer-intelligence products.
• Translate user research, journey insights, and product performance metrics into clear requirements, tradeoffs, and decisions.
• Partner with Data Scientists and ML Engineers across the model lifecycle (problem framing, evaluation, deployment, monitoring, iteration).
• Help define hypotheses and support experiments (e.g., A/B tests) to validate impact and measure outcomes.
• Track KPIs for engagement, quality, and reliability; translate results into prioritized next steps.
• Coordinate across Design, Engineering, and partner teams to maintain alignment and delivery momentum.
• Support responsible AI and data practices, including privacy, consent, governance, and fairness, in partnership with relevant control functions.

Required qualifications, capabilities, and skills

• 3+ years of experience in product management, analytics, data science, engineering, or a comparable domain.
• Strong data literacy and analytical judgment; comfortable using metrics and evidence to make product decisions.
• Hands-on experience querying/analyzing data (e.g., SQL and/or Python) to support product discovery, measurement, and experimentation.
• Strong product fundamentals: problem discovery, requirements definition, backlog management, and agile delivery (e.g., Jira or similar tools).
• Clear written and verbal communication and strong cross-functional collaboration skills.
• Comfort operating in ambiguity, learning quickly, and moving across problem spaces.

Preferred qualifications, capabilities, and skills

• Exposure to AI/ML, personalization/recommendations, and/or experimentation in partnership with Data Science.
• Experience designing or analyzing A/B tests and interpreting outcomes.
• Familiarity with cloud delivery environments (e.g., AWS) and multi-channel customer experiences (mobile, web, servicing).
• Bachelor's degree in Engineering, Data Science, Business, or comparable field.
• Interest in digital-banking trends and in privacy, consent, and fairness considerations in AI.

ABOUT US

Chase is a leading financial services firm, helping nearly half of America's households and small businesses achieve their financial goals through a broad range of financial products. Our mission is to create engaged, lifelong relationships and put our customers at the heart of everything we do. We also help small businesses, nonprofits and cities grow, delivering solutions to solve all their financial needs.

We offer a competitive total rewards package including base salary determined based on the role, experience, skill set and location. Those in eligible roles may receive commission-based pay and/or discretionary incentive compensation, paid in the form of cash and/or forfeitable equity, awarded in recognition of individual achievements and contributions. We also offer a range of benefits and programs to meet employee needs, based on eligibility. These benefits include comprehensive health care coverage, on-site health and wellness centers, a retirement savings plan, backup childcare, tuition reimbursement, mental health support, financial coaching and more. Additional details about total compensation and benefits will be provided during the hiring process.

We recognize that our people are our strength and the diverse talents they bring to our global workforce are directly linked to our success. We are an equal opportunity employer and place a high value on diversity and inclusion at our company. We do not discriminate on the basis of any protected attribute, including race, religion, color, national origin, gender, sexual orientation, gender identity, gender expression, age, marital or veteran status, pregnancy or disability, or any other basis protected under applicable law. We also make reasonable accommodations for applicants' and employees' religious practices and beliefs, as well as mental health or physical disability needs. Visit our FAQs for more information about requesting an accommodation.

Equal Opportunity Employer/Disability/Veterans

ABOUT THE TEAM

Our Consumer & Community Banking division serves our Chase customers through a range of financial services, including personal banking, credit cards, mortgages, auto financing, investment advice, small business loans and payment processing. We're proud to lead the U.S. in credit card sales and deposit growth and have the most-used digital solutions - all while ranking first in customer satisfaction.

The Digital team is dedicated to creating innovative, industry-leading products and experiences that help customers access, share and control their financial data so they can make smart decisions with their money. Teams enable innovation while adhering to the firm's data sharing principles of security, customer control and convenience, and privacy.